Curricula Vitæ

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Research Interests in Quantum Computation and Information

• Statistical inference for quantum information applications.
• Control and simulation of noisy quantum systems.
• Algorithms for using quantum resources to characterize and control.
• Applications of error correction and prevention.

Academic History

• PhD, Physics (quantum information). University of Waterloo. 2015.
• Master of Science, Physics. Perimeter Scholars International. 2010.
• Bachelor of Science (Honors cum laude), Physics. University of Alaska Fairbanks. 2009.
• Bachelor of Science (Honors cum laude), Mathematics and Computer Science. University of Alaska Fairbanks. 2009.

Recent Work History

• Owner and Principal, Dual Space Solutions LLC. May 2023 to present.
• Senior Research Development Engineer, Microsoft. July 2017 to October 2022.
• Research Associate, University of Sydney. March 2015 to July 2017.
• Research Assistant, Institute for Quantum Computing. May 2010 to February 2015.
• Teaching Assistant, Physics Department, University of Alaska Fairbanks. September 2008 to May 2009.
• Research Assistant, Computer Science and Artifical Intelligence Laboratory, Massachusetts Institute of Technology. June 2008 to August 2008.
• Student Researcher, Infrasound Group, University of Alaska Fairbanks. September 2006 to June 2008.

Academic Contributions

Invited Talks

• Rejection and Particle Filtering for Hamiltonian Learning. Presented as an invited talk at the Quantum Machine Learning conference, Perimeter Institute, September 2016.

Papers, Essays and Publications

2023

• Periodic plane-wave electronic structure calculations on quantum computers, Duo Song, Nicholas P. Bauman, Guen Prawiroatmodjo, Bo Peng, Cassandra E. Granade, Kevin M. Rosso, Guang Hao Low, Martin Roetteler, Karol Kowalski & Eric J. Bylaska. Mater Theory 7, 2 (2023).

  https://doi.org/10.1186/s41313-022-00049-5

• Advances in compilation for quantum hardware–A demonstration of magic state distillation and repeat-until-success protocols, Brown, N.C., Campora III, J.P., Cassandra E. Granade, Heim, B., Wernli, S., Ryan-Anderson, C., Lucchetti, D., Paetznick, A., Roetteler, M., Svore, K. and Chernoguzov, A.

  arXiv:2310.12106

2022

• Advancing hybrid quantum–classical computation with real-time execution, Lubinski, T., Cassandra E. Granade, Anderson, A., Geller, A., Roetteler, M., Petrenko, A. and Heim, B. Frontiers in Physics, 10, p.940293.

  https://doi.org/10.3389/fphy.2022.940293

2021

• Learning models of quantum systems from experiments, Gentile, A.A., Flynn, B., Knauer, S., Wiebe, N., Paesani, S., Cassandra E. Granade, Rarity, J.G., Santagati, R. and Laing, A., 2021. Nature Physics, 17(7), pp.837-843.

  https://doi.org/10.1038/s41567-021-01201-7

2020

• Toward quantum computing for high-energy excited states in molecular systems: quantum phase estimations of core-level states, Bauman, N.P., Liu, H., Bylaska, E.J., Krishnamoorthy, S., Low, G.H., Cassandra E. Granade, Wiebe, N., Baker, N.A., Peng, B., Roetteler, M. and Troyer, M. Journal of Chemical Theory and Computation, 17(1), pp.201-210.

  https://doi.org/10.1021/acs.jctc.0c00909

• Operational, gauge-free quantum tomography, Di Matteo, O., Gamble, J., Cassandra E. Granade, Rudinger, K. and Wiebe, N. Quantum, 4, p.364.

  https://doi.org/10.22331/q-2020-11-17-364

2019

• Q# and NWChem: Tools for scalable quantum chemistry on quantum computers, Low, G.H., Bauman, N.P., Cassandra E. Granade, Peng, B., Wiebe, N., Bylaska, E.J., Wecker, D., Krishnamoorthy, S., Roetteler, M., Kowalski, K. and Troyer, M.

  arXiv:1904.01131

• Bayesian ACRONYM Tuning, Gamble, J., Cassandra E. Granade and Wiebe, N.

  arXiv:1902.05940

• Magnetic-field learning using a single electronic spin in diamond with one-photon readout at room temperature, Santagati, R., Gentile, A.A., Knauer, S., Schmitt, S., Paesani, S., Cassandra E. Granade, Wiebe, N., Osterkamp, C., McGuinness, L.P., Wang, J. and Thompson, M.G. Physical Review X, 9(2), p.021019.

  https://doi.org/10.1103/PhysRevX.9.021019

2018

• Statistical inference with quantum measurements: methodologies for nitrogen vacancy centers in diamond, Hincks, I., Cassandra E. Granade and Cory, D.G. New Journal of Physics, 20(1), p.013022.

  https://doi.org/10.1103/PhysRevApplied.8.064004

• Q#: Enabling scalable quantum computing and development with a high-level dsl, Svore, K., Geller, A., Troyer, M., Azariah, J.,Cassandra E. Granade, Heim, B., Kliuchnikov, V., Mykhailova, M., Paz, A. and Roetteler, M., 2018, February. In Proceedings of the real world domain specific languages workshop 2018 (pp. 1-10).

  https://doi.org/10.1145/3183895.3183901

• Bayesian inference for randomized benchmarking protocols, Hincks, I., Wallman, J.J., Ferrie, C., Cassandra E. Granade and Cory, D.G.

  arXiv:1802.00401

• Bayesian quantum noise spectroscopy, Ferrie, C., Cassandra E. Granade, Paz-Silva, G. and Wiseman, H.M. New Journal of Physics, 20(12), p.123005.

  https://doi.org/10.1088/1367-2630/aaf207

2017

• QInfer: Statistical inference software for quantum applications, Cassandra E. Granade, Christopher Ferrie, Ian Hincks, Steven Casagrande, Thomas Alexander, Jonathan Gross, Michal Kononenko, Yuval Sanders. Quantum 1 5.

  doi:10.22331/q-2017-04-25-5

  arXiv:1610.00336

• Tailored codes for small quantum memories, Alan Robertson, Cassandra E. Granade, Stephen D. Bartlett, Steven T. Flammia.

  arXiv:1703.08179

• Logical randomized benchmarking, Joshua Combes, Cassandra E. Granade, Christopher Ferrie, Steven T. Flammia.

  arXiv:1702.03688

2016

• Structured filtering, Cassandra E. Granade, Nathan Wiebe.

  arXiv:1612.00762

• Explaining quantum correlations through evolution of causal models, Robin Harper, Robert J. Chapman, Christopher Ferrie, Cassandra E. Granade, Richard Kueng, Daniel Naoumenko, Steven T. Flammia and Alberto Peruzzo.

  arXiv:1608.03281

• Practical adaptive quantum tomography, Cassandra E. Granade, Christopher Ferrie and Steven T. Flammia.

  arXiv:1605.05039

  supplemental material doi:10/bhfk

• Efficient Bayesian Phase Estimation, Nathan Wiebe, Cassandra E. Granade. Physical Review Letters 117 010503.

  doi:10.1103/PhysRevLett.117.010503

  arXiv:1508.00869

• Practical Bayesian Tomography, Cassandra E. Granade, Joshua Combes and D. G. Cory. New Journal of Physics 18 033024.

  doi:10.1088/1367-2630/18/3/033024

  literate source code

  arXiv:1509.03770

2015

• Can small quantum systems learn?, Nathan Wiebe, Cassandra E. Granade.

  arXiv:1512.03145

• Bayesian inference via rejection filtering, Nathan Wiebe, Cassandra E. Granade, Ashish Kapoor, Krysta M Svore.

  arXiv:1511.06458

• Accounting for Classical Hardware in the Control of Quantum Devices, Ian N. Hincks, Cassandra E. Granade, Troy W. Borneman, D. G. Cory. Physical Review Applied 4 024012.

  doi:10.1103/PhysRevApplied.4.024012

  arXiv:1409.8178

• Quantum Inspired Training for Boltzmann Machines, Nathan Wiebe, Ashish Kapoor, Cassandra E. Granade, Krysta M Svore.

  arXiv:1507.02642

• Characterization, Verification and Control for Large Quantum Systems, Cassandra E. Granade. PhD Thesis.

  UWSpace

• Estimating the Coherence of Noise, Joel Wallman, Cassandra E. Granade, Robin Harper, Steven T. Flammia.

  arXiv:1503.07865

• Quantum Bootstrapping via Compressed Quantum Hamiltonian Learning, Nathan Wiebe, Cassandra E. Granade, David G. Cory. New Journal of Physics (Fast Track Communications) 17 022005.

  doi:10.1088/1367-2630/17/2/022005

  arXiv:1409.1524

2014

• Accelerated Randomized Benchmarking, Cassandra E. Granade, Christopher Ferrie, D. G. Cory. New Journal of Physics 17 013042.

  doi:10.1088/1367-2630/17/1/013042

  arXiv:1404.5275

• Quantum Hamiltonian Learning Using Imperfect Quantum Resources, Nathan Wiebe, Cassandra E. Granade, Christopher Ferrie, D. G. Cory. Physical Review A 89 042314.

  arXiv:1311.5269

  doi:10.1103/PhysRevA.89.042314

• Likelihood-Free Methods for Quantum Parameter Estimation, Christopher Ferrie, Cassandra E. Granade. Physical Review Letters 112 130402.

  arXiv:1304.5828

  doi:10.1103/PhysRevLett.112.130402

• Tractable Simulation of Quantum Error Correction with Honest Approximations to Realistic Fault Models, Daniel Puzzuoli, Cassandra E. Granade, Holger Haas, Ben Criger, Easwar Magesan, D. G. Cory. Physical Review A 89 022306.

  arXiv:1309.4717

  doi:10.1103/PhysRevA.89.022306

• Hamiltonian Learning and Certification Using Quantum Resources, Nathan Wiebe, Cassandra E. Granade, Christopher Ferrie, D. G. Cory. Physical Review A 89 042314.

  arXiv:1309.0876

  doi:10.1103/PhysRevA.89.042314

2012

• Robust Online Hamiltonian Learning, Cassandra E. Granade, Christopher Ferrie, Nathan Wiebe, David G. Cory. New Journal of Physics 14 103013.

  doi:10.1088/1367-2630/14/10/103013

  arXiv:1207.1655

• Modeling quantum noise for efficient testing of fault-tolerant circuits, Easwar Magesan, Daniel Puzzuoli, Cassandra E. Granade, David G. Cory. Physical Review A 87 012324.

  doi:10.1103/PhysRevA.87.012324

  arXiv:1206.5407

2011

• Adaptive Hamiltonian Estimation Using Bayesian Experimental Design, Christopher Ferrie, Cassandra E. Granade, David G. Cory. Bayesian Inference And Maximum Entropy Methods In Science And Engineering: Proceedings of the 31th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering.

  doi:10.1063/1.3703632

  arXiv:1111.0935

• How to best sample a periodic probability distribution, or on the accuracy of Hamiltonian finding strategies, Christopher Ferrie, Cassandra E. Granade, David G. Cory. Quantum Information Processing.

  doi:10.1007/s11128-012-0407-6

  arXiv:1110.3067

• Parallel Information Transfer in a Multi-Node Quantum Information Processor, Troy W. Borneman, Cassandra E. Granade, David G. Cory. Physics Review Letters 108 140502.

  doi:10.1103/PhysRevLett.108.140502

  arXiv:1107.4333

2009

• Why Complexity Matters (senior undergraduate Honors thesis).

  PDF

2008

• Ease and Toil: Analyzing Sudoku, with Seth Chadwick and Rachel Krieg.

  PDF

Academic Projects

I have contributed or am an active contributor to the following academic projects:

• Complexity Zoo
• QuTiP
• QuaEC
• QInfer
• QuantumUtils for MATLAB
• QuantumUtils for Mathematica

Awards and Honors

• Oustanding Submission and INFORMS Prize Winner, Mathematical Contest in Modeling, 2008.
• University of Alaska Fairbanks Physics Department Scholarship Recipient, 2006 and 2007.
• Usibelli Honors Scholarship Recipient, 2006.
• University of Alaska Scholar, 2001-2006.